Modelling quality dynamics on business value and firm performance in big data analytics environment
dc.contributor.author | Ji-fan Ren, S | |
dc.contributor.author | Fosso Wamba, S | |
dc.contributor.author | Akter, S | |
dc.contributor.author | Dubey, R | |
dc.contributor.author | Childe, Stephen J | |
dc.date.accessioned | 2016-03-22T21:45:23Z | |
dc.date.available | 2016-03-22T21:45:23Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0020-7543 | |
dc.identifier.issn | 1366-588X | |
dc.identifier.other | 17 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/4390 | |
dc.description.abstract |
Big data analytics have become an increasingly important component for firms across advanced economies. This paper examines the quality dynamics in big data environment that are linked with enhancing business value and firm performance. The study identifies that system quality (i.e., system reliability, accessibility, adaptability, integration, response time and privacy) and information quality (i.e., completeness, accuracy, format and currency) are key to enhance business value and firm performance in a big data environment. The study also proposes that the relationship between quality and firm performance is mediated by business value of big data. Drawing on the resource based theory and the information systems success literature, this study extends knowledge in this domain by linking system quality, information quality, business value and firm performance. | |
dc.format.extent | 5011-5026 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Informa UK Limited | |
dc.subject | big data | |
dc.subject | analytics | |
dc.subject | business values | |
dc.subject | information quality | |
dc.subject | system quality | |
dc.subject | firm performance | |
dc.title | Modelling quality dynamics on business value and firm performance in big data analytics environment | |
dc.type | journal-article | |
dc.type | Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000404671500013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 17 | |
plymouth.volume | 55 | |
plymouth.publication-status | Published | |
plymouth.journal | International Journal of Production Research | |
dc.identifier.doi | 10.1080/00207543.2016.1154209 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Arts, Humanities and Business | |
plymouth.organisational-group | /Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2016-02-06 | |
dc.identifier.eissn | 1366-588X | |
dc.rights.embargoperiod | No embargo | |
rioxxterms.versionofrecord | 10.1080/00207543.2016.1154209 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2017 | |
rioxxterms.type | Journal Article/Review |